Cargando…

Predictors of arthritis in pediatric patients with lupus

BACKGROUND: Arthritis is one of the most common manifestations of systemic lupus erythematosus (SLE). Although typically non-erosive and non-deforming, children with SLE arthritis can have significant morbidity with decreased quality of life. Our goal was to identify potential clinical and laborator...

Descripción completa

Detalles Bibliográficos
Autores principales: Sule, SD, Moodalbail, DG, Burnham, J, Fivush, B, Furth, SL
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4499875/
https://www.ncbi.nlm.nih.gov/pubmed/26170222
http://dx.doi.org/10.1186/s12969-015-0027-7
_version_ 1782380846397784064
author Sule, SD
Moodalbail, DG
Burnham, J
Fivush, B
Furth, SL
author_facet Sule, SD
Moodalbail, DG
Burnham, J
Fivush, B
Furth, SL
author_sort Sule, SD
collection PubMed
description BACKGROUND: Arthritis is one of the most common manifestations of systemic lupus erythematosus (SLE). Although typically non-erosive and non-deforming, children with SLE arthritis can have significant morbidity with decreased quality of life. Our goal was to identify potential clinical and laboratory predictors of arthritis in a cohort of pediatric patients with SLE. METHODS: We performed a cohort study of incident and prevalent patients with SLE aged ≤ 19 years. In cross sectional analysis, we compared demographic and clinical characteristics at initial clinic presentation between patients with arthritis noted at any time during follow-up and those without arthritis. We performed time to event analysis using Cox proportional hazard ratios to identify predictors of arthritis, clustering for repeated measures. RESULTS: Forty seven children and adolescents with SLE were followed in the cohort, 91 % female and 68 % Black. In cross-sectional analyses, presence of malar rash was associated with arthritis. In longitudinal analyses, controlling for gender and race, increased age (HR: 1.4, 95 % CI: 1.1–1.7), malar rash (HR: 2.1, 95 % CI: 1.1–3.6), and presence of RNP antibodies (HR: 1.9, 95 % CI: 1.1–3.4) were predictive of arthritis. When controlling for gender, race, and medication use, anemia (HR: 8.5, 95 % CI: 2.9–24.2) and thrombocytopenia (HR: 6.1, 95 % CI: 2.4–15.6) were associated with increased risk of arthritis. CONCLUSIONS: We identified markers predictive of arthritis in a longitudinal cohort of children with SLE. The recognition of these markers may help clinicians identify patients at risk for arthritis before its onset thus improving quality of life in children with SLE.
format Online
Article
Text
id pubmed-4499875
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-44998752015-07-14 Predictors of arthritis in pediatric patients with lupus Sule, SD Moodalbail, DG Burnham, J Fivush, B Furth, SL Pediatr Rheumatol Online J Research Article BACKGROUND: Arthritis is one of the most common manifestations of systemic lupus erythematosus (SLE). Although typically non-erosive and non-deforming, children with SLE arthritis can have significant morbidity with decreased quality of life. Our goal was to identify potential clinical and laboratory predictors of arthritis in a cohort of pediatric patients with SLE. METHODS: We performed a cohort study of incident and prevalent patients with SLE aged ≤ 19 years. In cross sectional analysis, we compared demographic and clinical characteristics at initial clinic presentation between patients with arthritis noted at any time during follow-up and those without arthritis. We performed time to event analysis using Cox proportional hazard ratios to identify predictors of arthritis, clustering for repeated measures. RESULTS: Forty seven children and adolescents with SLE were followed in the cohort, 91 % female and 68 % Black. In cross-sectional analyses, presence of malar rash was associated with arthritis. In longitudinal analyses, controlling for gender and race, increased age (HR: 1.4, 95 % CI: 1.1–1.7), malar rash (HR: 2.1, 95 % CI: 1.1–3.6), and presence of RNP antibodies (HR: 1.9, 95 % CI: 1.1–3.4) were predictive of arthritis. When controlling for gender, race, and medication use, anemia (HR: 8.5, 95 % CI: 2.9–24.2) and thrombocytopenia (HR: 6.1, 95 % CI: 2.4–15.6) were associated with increased risk of arthritis. CONCLUSIONS: We identified markers predictive of arthritis in a longitudinal cohort of children with SLE. The recognition of these markers may help clinicians identify patients at risk for arthritis before its onset thus improving quality of life in children with SLE. BioMed Central 2015-07-14 /pmc/articles/PMC4499875/ /pubmed/26170222 http://dx.doi.org/10.1186/s12969-015-0027-7 Text en © Sule et al. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Sule, SD
Moodalbail, DG
Burnham, J
Fivush, B
Furth, SL
Predictors of arthritis in pediatric patients with lupus
title Predictors of arthritis in pediatric patients with lupus
title_full Predictors of arthritis in pediatric patients with lupus
title_fullStr Predictors of arthritis in pediatric patients with lupus
title_full_unstemmed Predictors of arthritis in pediatric patients with lupus
title_short Predictors of arthritis in pediatric patients with lupus
title_sort predictors of arthritis in pediatric patients with lupus
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4499875/
https://www.ncbi.nlm.nih.gov/pubmed/26170222
http://dx.doi.org/10.1186/s12969-015-0027-7
work_keys_str_mv AT sulesd predictorsofarthritisinpediatricpatientswithlupus
AT moodalbaildg predictorsofarthritisinpediatricpatientswithlupus
AT burnhamj predictorsofarthritisinpediatricpatientswithlupus
AT fivushb predictorsofarthritisinpediatricpatientswithlupus
AT furthsl predictorsofarthritisinpediatricpatientswithlupus